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ALIGN: large-scale noisy-alt-text contrastive vision-language training

Contribution grade

Vision-language representation systems · Human-designed research method or resource

Reference score140,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Trained a dual visual/text encoder with contrastive alignment on a large, lightly filtered image/alt-text corpus and studied transfer and cross-modal retrieval.

Scientific scope

Trained a dual visual/text encoder with contrastive alignment on a large, lightly filtered image/alt-text corpus and studied transfer and cross-modal retrieval. Dual encoders and contrastive objectives have predecessors including contemporaneous CLIP. Delta is this specific noisy-supervision scaling study/system, not first contrastive image-text learning; corpus scale does not universally compensate for noise or license data.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Dual encoders and contrastive objectives have predecessors including contemporaneous CLIP. Delta is this specific noisy-supervision scaling study/system, not first contrastive image-text learning; corpus scale does not universally compensate for noise or license data.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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